Senators

DG: Dominic Belley Morale : 33 Moyenne d'Équipe : 46
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jiri SekacXX100.00603585696761515135525060483633034540
2Paul CareyXX100.00513595716254355035415859484037047530
3Carl KlingbergXX100.00483594687244334435335353474138066500
4Alexandre GrenierX100.00543586677153353550353562483532061480
5Brendan Lemieux (R)X100.00454545457145454545454545453230066460
6James Lodge (R)X100.00434343434843434343434343433230065430
7Scott GlennieX100.00609030337133403335333333473532030380
8Peter LeBlancXX100.00328535356433463335333335473532065380
9Brett GallantX100.00508535356233433335333335473532046380
10Drew LeBlancX100.00328733336633483335333333473532034370
11Patrick HollandXX100.00328535355833443335333335473532033370
12Dylan OlsenX100.00613585657564394635484370564439063580
13Evgeny MedvedevX100.00543578666156434835474973453532043560
14Matt DonovanX100.00573586636758354535493967473937065550
15Tommy CrossX100.00613595636850353335333270483532065530
16Cameron SchillingX100.00513573645751333335333367473936065510
17Theo PeckhamX100.00528535438733573335333345474842065470
18Alexander UrbomX100.00398337497233553335333353474138062460
19Roland McKeown (R)X100.00454545456345454545454545453230066460
Rayé
1Andre BenoitX100.00535087696160394635494369484642020560
MOYENNE D'ÉQUIPE100.0049556253664642403739405347383405348
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jason LaBarbera100.0044456290454445454362605852019520
2Mason McDonald (R)100.0045454566454545454545453230025460
Rayé
1Eric Comrie (R)100.0045454559454545454545453230060450
2Scott Clemmensen100.002020202020202020202020202009210
MOYENNE D'ÉQUIPE100.003939435939393939384343363302841
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Troy Ward44596646756359USA562500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Evgeny MedvedevSenators (Ott)D58245983-461592731940012.37%89108518.721620361312040222188420.00%000001.5300001666
2Paul CareySenators (Ott)LW/RW58373269627588902480014.92%597016.72131932741910007965351.06%4700021.4203001582
3Carl KlingbergSenators (Ott)LW/RW58182644321568461400012.86%985214.707132029186000003048.33%6000001.0313001134
4Jiri SekacSenators (Ott)LW/RW38192443610016601080017.59%371518.8371219381492023742153.15%11100001.2012000313
5Dylan OlsenSenators (Ott)D53112839044079591100010.00%75111521.058513671960003170010.00%000000.7002000022
6Brendan LemieuxSenators (Ott)LW587411-233156318470014.89%861310.5700000000001056.25%3200000.3600001030
7Matt DonovanSenators (Ott)D585611-213205951350014.29%3566711.5100045000125010.00%000000.3300000020
8Cameron SchillingSenators (Ott)D581910-7195493827003.70%413896.710110000000000.00%000000.5100000000
9Alexandre GrenierSenators (Ott)RW45279-17100266372002.78%1457312.75022150001770056.78%11800000.3100000010
10Tommy CrossSenators (Ott)D58099-21440524927000.00%3763510.960000000000000.00%000000.2800000001
11James LodgeSenators (Ott)C58448-9320536355007.27%54597.9300000000000047.81%43300000.3500000000
12Roland McKeownSenators (Ott)D58347-73955110220013.64%163886.700000000000010.00%000000.3600001010
13Theo PeckhamSenators (Ott)D5842624080180022.22%4621.08314163400005000.00%000001.9100000100
14Drew LeBlancSenators (Ott)C15022-100264000.00%0422.8300000000000048.98%4900000.9400000010
15Brett GallantSenators (Ott)LW58112-3160112100010.00%01141.980116400000241044.00%5000000.3500000000
16Peter LeBlancSenators (Ott)C/LW58011-400436000.00%0811.410115200000430047.22%3600000.2400000000
17Alexander UrbomSenators (Ott)D580000215763000.00%8791.3800001000272000.00%000000.0000001000
18Patrick HollandSenators (Ott)C/RW10000-6195120000.00%0808.0800000000000028.57%700000.0000000000
Stats d'équipe Total ou en Moyenne915136218354-1064304072963911260012.08%34989309.76547512937110352241977916949.73%94300020.79210006162818
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mason McDonaldSenators (Ott)58252660.8693.7132322120015290600.66715580200
2Eric ComrieSenators (Ott)71000.9032.43222009930011.0005053000
Stats d'équipe Total ou en Moyenne65262660.8713.6334552120916220610.750205853200


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alexander UrbomSenators (Ott)D241990-12-20No215 Lbs6 ft4YesNo5Avec RestrictionPro & Farm750,000$750,000$750,000$750,000$750,000$Lien
Alexandre GrenierSenators (Ott)RW241991-09-05No200 Lbs6 ft5NoNo4Avec RestrictionPro & Farm585,000$585,000$585,000$585,000$Lien
Andre BenoitSenators (Ott)D311984-01-06No191 Lbs5 ft11YesNo5Sans RestrictionPro & Farm950,000$950,000$950,000$950,000$950,000$Lien
Brendan LemieuxSenators (Ott)LW191996-05-15Yes206 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm792,000$792,000$792,000$792,000$Lien
Brett GallantSenators (Ott)LW261988-12-28No190 Lbs6 ft0NoNo2Avec RestrictionPro & Farm450,000$450,000$Lien
Cameron SchillingSenators (Ott)D261988-10-07No182 Lbs6 ft2NoNo1Avec RestrictionPro & Farm925,000$Lien
Carl KlingbergSenators (Ott)LW/RW241991-01-28No205 Lbs6 ft3YesNo5Avec RestrictionPro & Farm1,282,300$1,282,300$1,282,300$1,282,300$1,282,300$Lien
Drew LeBlancSenators (Ott)C261989-06-29No195 Lbs6 ft0NoNo1Avec RestrictionPro & Farm925,000$Lien
Dylan OlsenSenators (Ott)D241991-01-03No223 Lbs6 ft2NoNo2Avec RestrictionPro & Farm1,075,000$1,075,000$Lien
Eric ComrieSenators (Ott)G201995-07-06Yes167 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm642,000$642,000$642,000$642,000$Lien
Evgeny MedvedevSenators (Ott)D331982-08-27No187 Lbs6 ft3YesNo5Sans RestrictionPro & Farm975,000$975,000$975,000$975,000$975,000$Lien
James LodgeSenators (Ott)C201995-05-05Yes166 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Jason LaBarbera (Contrat à 1 Volet)Senators (Ott)G351980-01-18No232 Lbs6 ft3YesNo2Sans RestrictionPro & Farm650,000$650,000$Lien
Jiri SekacSenators (Ott)LW/RW231992-06-10No195 Lbs6 ft2NoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$Lien
Mason McDonaldSenators (Ott)G191996-04-23Yes178 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm792,000$792,000$792,000$792,000$Lien
Matt DonovanSenators (Ott)D251990-05-09No205 Lbs6 ft1NoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$Lien
Patrick HollandSenators (Ott)C/RW231992-01-07No185 Lbs6 ft0NoNo2Avec RestrictionPro & Farm640,000$640,000$Lien
Paul CareySenators (Ott)LW/RW271988-09-24No190 Lbs6 ft0NoNo2Avec RestrictionPro & Farm450,000$450,000$Lien
Peter LeBlancSenators (Ott)C/LW271988-02-03No195 Lbs5 ft9NoNo2Avec RestrictionPro & Farm450,000$450,000$Lien
Roland McKeownSenators (Ott)D191996-01-20Yes195 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm718,000$718,000$718,000$718,000$Lien
Scott Clemmensen (Contrat à 1 Volet)Senators (Ott)G381977-07-23No200 Lbs6 ft2YesNo3Sans RestrictionPro & Farm985,000$985,000$985,000$Lien
Scott GlennieSenators (Ott)RW241991-02-22No204 Lbs6 ft1YesNo5Avec RestrictionPro & Farm450,000$450,000$450,000$450,000$450,000$Lien
Theo PeckhamSenators (Ott)D271987-11-10No246 Lbs6 ft2YesNo5Avec RestrictionPro & Farm750,000$750,000$750,000$750,000$750,000$Lien
Tommy CrossSenators (Ott)D261989-09-12No205 Lbs6 ft3YesNo5Avec RestrictionPro & Farm750,000$750,000$750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2425.42198 Lbs6 ft13.42758,804$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Paul CareyCarl Klingberg30122
3Brendan Lemieux20122
4James Lodge10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Evgeny Medvedev30122
3Matt DonovanTommy Cross20122
4Cameron SchillingRoland McKeown10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Paul CareyCarl Klingberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Evgeny Medvedev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Paul Carey40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Evgeny Medvedev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Evgeny Medvedev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Paul Carey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Evgeny Medvedev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Gallant, Peter LeBlanc, Brett Gallant, Peter LeBlanc
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Theo Peckham, Alexander Urbom, Matt DonovanTheo PeckhamAlexander Urbom, Matt Donovan
Tirs de Pénalité
, , , Paul Carey, Carl Klingberg
Gardien
#1 : Mason McDonald, #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Admirals2110000067-1110000005231010000015-420.5006111700112908973790189383941562339428225.00%130100.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Falcons311000101385201000108801100000050540.667131932011129089781901893839417428636314428.57%18477.78%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Bruins422000001618-22110000058-3211000001110140.50016254100112908971269018938394112035707216318.75%24387.50%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Crunch532000002017332100000141222110000065160.60020395900112908972269018938394115460529238718.42%24579.17%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Heat21100000510-5110000005411010000006-620.5005101500112908975690189383941852617327228.57%6266.67%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Phantoms31200000914-51010000046-22110000058-320.3339182700112908971319018938394110438225619315.79%10190.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Baby Hawks22000000853110000005321100000032141.00081220001129089769901893839415922304810220.00%13376.92%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Monsters20100100810-21010000045-11000010045-110.25081321001129089759901893839417318194814428.57%9277.78%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Jayhawks21000001651110000004221000000123-130.7506101600112908974690189383941451922477342.86%6183.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Cougars41200100912-32020000036-32100010066030.3759162500112908971079018938394112245398315213.33%17382.35%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Oil Kings20200000511-61010000025-31010000036-300.00051015001129089766901893839417025223319421.05%11463.64%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Sound Tigers30300000719-121010000035-220200000414-1000.000713200011290897719018938394110737226417211.76%11281.82%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Monarchs2110000079-21010000047-31100000032120.500714210011290897519018938394162128398450.00%4175.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Minnesota220000001275110000007431100000053241.000122032001129089776901893839411073424566350.00%7185.71%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Spiders30200010812-41000001032120200000510-520.33381220001129089783901893839419224377715426.67%15193.33%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Manchots31101000131122100100011831010000023-140.667132235001129089791901893839416518436216318.75%19573.68%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Wolf Pack311010001716111000000651201010001111040.66717335000112908971459018938394113632388119736.84%14471.43%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Sharks2020000048-41010000024-21010000024-200.000471100112908975590189383941531426557228.57%12466.67%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Chiefs20200000510-51010000023-11010000037-400.000510150011290897429018938394164152042800.00%10370.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Thunder411001011215-32110000067-12000010168-240.50012223400112908971189018938394112839529416318.75%19289.47%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Marlies4210000118162211000009902100000197250.62518335100112908971609018938394110934489622940.91%19573.68%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Comets211000001114-31100000064210100000510-520.5001122330011290897939018938394110830193316318.75%6433.33%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Cabaret Lady Mary Ann4220000022202211000001211121100000109140.50022426400112908971499018938394118853379120840.00%14564.29%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
IceCaps2020000079-21010000045-11010000034-100.00071320001129089749901893839417016163711436.36%8537.50%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Chill20200000611-51010000036-31010000035-200.00061218001129089763901893839411003918449111.11%8275.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Rocket514000001624-821100000910-130300000714-720.200162844101129089717390189383941145487310633515.15%19194.74%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Bears311010001192211000008711000100032140.66711193000112908978190189383941903036601317.69%15473.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Caroline30300000713-62020000059-41010000024-200.00071421001129089782901893839411263342729111.11%12558.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Las Vegas2110000089-1110000004311010000046-220.5008152300112908976890189383941992724558225.00%11281.82%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Vs Conference39102203121136166-3019610010207280-820412021016486-22320.410136240376011129089711829018938394112573854908461884322.87%1903880.00%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Since Last GM Reset82274403323296349-5341172101020163170-741102302303133179-46700.4272965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516
Total82274403323296349-5341172101020163170-741102302303133179-46700.4272965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8270L129653483026542811874978178011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8227443323296349
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117211020163170
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4110232303133179
Derniers 10 Matchs
WLOTWOTL SOWSOL
441100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4209823.33%3748477.54%4
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
9018938394111290897
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1168264244.21%1124263542.66%636142144.76%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1849124120556291051516


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2016-10-121Marlies5Senators2LSommaire du Match
4 - 2016-10-1519Rocket5Senators6WSommaire du Match
6 - 2016-10-1735Senators4Cougars3WSommaire du Match
7 - 2016-10-1842Chill6Senators3LSommaire du Match
11 - 2016-10-2275Thunder4Senators2LSommaire du Match
14 - 2016-10-2591Senators5Comets10LSommaire du Match
17 - 2016-10-28110Senators0Heat6LSommaire du Match
19 - 2016-10-30129Senators3Oil Kings6LSommaire du Match
21 - 2016-11-01131Caroline4Senators2LSommaire du Match
23 - 2016-11-03153Comets4Senators6WSommaire du Match
25 - 2016-11-05165Crunch2Senators6WSommaire du Match
28 - 2016-11-08190Senators4Las Vegas6LSommaire du Match
29 - 2016-11-09194Senators3Crunch4LSommaire du Match
31 - 2016-11-11208Monarchs7Senators4LSommaire du Match
33 - 2016-11-13225Minnesota4Senators7WSommaire du Match
35 - 2016-11-15233Senators2Phantoms6LSommaire du Match
37 - 2016-11-17246Las Vegas3Senators4WSommaire du Match
39 - 2016-11-19270Cabaret Lady Mary Ann8Senators7LSommaire du Match
42 - 2016-11-22287Senators4Rocket6LSommaire du Match
44 - 2016-11-24301Bruins6Senators1LSommaire du Match
46 - 2016-11-26314Caroline5Senators3LSommaire du Match
47 - 2016-11-27323Senators6Wolf Pack7LSommaire du Match
49 - 2016-11-29333Crunch7Senators3LSommaire du Match
51 - 2016-12-01349Phantoms6Senators4LSommaire du Match
53 - 2016-12-03370Cabaret Lady Mary Ann3Senators5WSommaire du Match
55 - 2016-12-05379Senators2Manchots3LSommaire du Match
57 - 2016-12-07394Senators2Sharks4LSommaire du Match
60 - 2016-12-10418Senators3Monarchs2WSommaire du Match
61 - 2016-12-11421Senators1Admirals5LSommaire du Match
64 - 2016-12-14441Sharks4Senators2LSommaire du Match
67 - 2016-12-17463Spiders2Senators3WXXSommaire du Match
68 - 2016-12-18470Senators3Sound Tigers4LSommaire du Match
70 - 2016-12-20489Senators3Baby Hawks2WSommaire du Match
72 - 2016-12-22499Admirals2Senators5WSommaire du Match
77 - 2016-12-27519Senators5Wolf Pack4WXSommaire du Match
79 - 2016-12-29534Cougars3Senators1LSommaire du Match
82 - 2017-01-01560Senators3Bears2WXSommaire du Match
88 - 2017-01-07592Bears4Senators3LSommaire du Match
89 - 2017-01-08606Oil Kings5Senators2LSommaire du Match
93 - 2017-01-12625Manchots4Senators6WSommaire du Match
95 - 2017-01-14643Marlies4Senators7WSommaire du Match
98 - 2017-01-17666Senators3Chiefs7LSommaire du Match
100 - 2017-01-19678Senators5Falcons0WSommaire du Match
102 - 2017-01-21692Senators3Marlies4LXXSommaire du Match
103 - 2017-01-22704Falcons4Senators3LSommaire du Match
105 - 2017-01-24719Bears3Senators5WSommaire du Match
107 - 2017-01-26730Heat4Senators5WSommaire du Match
112 - 2017-01-31753Senators6Cabaret Lady Mary Ann3WSommaire du Match
114 - 2017-02-02760Senators3Thunder4LXSommaire du Match
116 - 2017-02-04775Senators3Crunch1WSommaire du Match
119 - 2017-02-07795Chiefs3Senators2LSommaire du Match
121 - 2017-02-09802Jayhawks2Senators4WSommaire du Match
123 - 2017-02-11816Sound Tigers5Senators3LSommaire du Match
126 - 2017-02-14839Crunch3Senators5WSommaire du Match
128 - 2017-02-16847Senators2Spiders3LSommaire du Match
130 - 2017-02-18860Senators6Marlies3WSommaire du Match
131 - 2017-02-19879IceCaps5Senators4LSommaire du Match
133 - 2017-02-21882Senators3Spiders7LSommaire du Match
136 - 2017-02-24902Senators2Caroline4LSommaire du Match
138 - 2017-02-26916Senators4Cabaret Lady Mary Ann6LSommaire du Match
139 - 2017-02-27920Senators3Thunder4LXXSommaire du Match
142 - 2017-03-02942Monsters5Senators4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04954Falcons4Senators5WXXSommaire du Match
146 - 2017-03-06970Bruins2Senators4WSommaire du Match
148 - 2017-03-08983Senators2Jayhawks3LXXSommaire du Match
149 - 2017-03-09987Senators3Chill5LSommaire du Match
151 - 2017-03-111008Senators4Monsters5LXSommaire du Match
154 - 2017-03-141024Thunder3Senators4WSommaire du Match
156 - 2017-03-161044Baby Hawks3Senators5WSommaire du Match
158 - 2017-03-181056Rocket5Senators3LSommaire du Match
159 - 2017-03-191064Senators2Rocket6LSommaire du Match
161 - 2017-03-211075Senators4Bruins5LSommaire du Match
163 - 2017-03-231093Manchots4Senators5WXSommaire du Match
165 - 2017-03-251107Senators1Rocket2LSommaire du Match
168 - 2017-03-281128Senators3Phantoms2WSommaire du Match
170 - 2017-03-301143Senators5Minnesota3WSommaire du Match
172 - 2017-04-011163Senators3IceCaps4LSommaire du Match
174 - 2017-04-031177Senators2Cougars3LXSommaire du Match
175 - 2017-04-041191Cougars3Senators2LSommaire du Match
177 - 2017-04-061197Senators7Bruins5WSommaire du Match
179 - 2017-04-081207Wolf Pack5Senators6WSommaire du Match
180 - 2017-04-091221Senators1Sound Tigers10LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance6090830750
Assistance PCT74.28%75.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2236 - 74.52% 89,278$3,660,400$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,562,630$ 1,562,630$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
2,578,610$ 8,633$ 2,075,801$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,396$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
201682274403323296349-5341172101020163170-741102302303133179-46542965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516
Total Saison Régulière82274403323296349-5341172101020163170-741102302303133179-46542965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516